CN113507539A - Method for acquiring falling information of terminal equipment and terminal equipment - Google Patents
Method for acquiring falling information of terminal equipment and terminal equipment Download PDFInfo
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- CN113507539A CN113507539A CN202010215312.XA CN202010215312A CN113507539A CN 113507539 A CN113507539 A CN 113507539A CN 202010215312 A CN202010215312 A CN 202010215312A CN 113507539 A CN113507539 A CN 113507539A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/30—Investigating strength properties of solid materials by application of mechanical stress by applying a single impulsive force, e.g. by falling weight
- G01N3/303—Investigating strength properties of solid materials by application of mechanical stress by applying a single impulsive force, e.g. by falling weight generated only by free-falling weight
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/02—Details not specific for a particular testing method
- G01N2203/06—Indicating or recording means; Sensing means
- G01N2203/067—Parameter measured for estimating the property
- G01N2203/0688—Time or frequency
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/12—Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The embodiment of the application discloses a method for acquiring falling information of terminal equipment and the terminal equipment, which can acquire the falling information of the terminal equipment according to elastic wave data so as to improve the effectiveness of the falling information. The method in the embodiment of the application comprises the following steps: acquiring first elastic wave data of terminal equipment during impact; and determining impact information of the terminal equipment according to the first elastic wave data.
Description
Technical Field
The present application relates to the technical field of terminal devices, and in particular, to a method for acquiring dropping information of a terminal device and a terminal device.
Background
In daily life, a user uses a smart phone, a tablet or a notebook computer, occasionally, the condition that terminal equipment falls down to impact the ground can occur, so that a screen, a connecting device, a chip and the like of the terminal equipment are damaged, and the service life of the terminal equipment is seriously shortened. Therefore, it is necessary to collect the effective fall information of the terminal device to perform the directional maintenance optimization on the terminal device.
At present, a method for acquiring falling information of a terminal device mainly acquires data through an acceleration sensor ACC and a gyroscope sensor GYRO, and then acquires falling information according to the acquired data.
However, the sampling rates of the two sensors are low, so that effective fall information cannot be acquired.
Disclosure of Invention
The embodiment of the application provides a method for acquiring falling information of a terminal device and the terminal device, and the falling information of the terminal device can be acquired according to elastic wave data so as to improve the effectiveness of the falling information.
A first aspect of the embodiments of the present application provides a method for acquiring dropping information of a terminal device, including:
first elastic wave data of terminal equipment during impact are obtained;
and then determining impact information of the terminal equipment according to the first elastic wave data, wherein the impact information is one of falling information, and the impact information can comprise various information, such as the material and the impact position of the impacted object.
Because the first elastic wave data can reflect the impact characteristics of the terminal equipment better than the acceleration data and the angular velocity data, the impact information determined according to the first elastic wave data can effectively reflect the impact condition of the terminal equipment, and therefore a user can be effectively guided to carry out directional maintenance optimization on the terminal equipment.
Based on the first aspect of the embodiments of the present application, an embodiment of the present application provides a first implementation manner of the first aspect, and determining the impact information of the terminal device according to the first elastic wave data includes:
acquiring frequency characteristics corresponding to the first elastic wave data;
and determining the material of the object impacted by the terminal equipment according to the frequency characteristics.
In the embodiment of the application, the impact information comprises the material of the object impacted by the terminal equipment, so that the terminal equipment can be maintained and optimized according to the impacted material of the object, and a feasible scheme for determining the material of the object impacted by the terminal equipment is provided.
Based on the first implementation manner of the first aspect of the embodiments of the present application, an embodiment of the present application provides a second implementation manner of the first aspect, where the frequency characteristics include a plurality of frequencies and respective corresponding amplitudes;
determining the material of the object impacted by the terminal equipment according to the frequency characteristics comprises the following steps:
determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies greater than the first threshold and the sum of the amplitudes corresponding to the frequencies;
and/or
And determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies smaller than the second threshold value and the sum of the amplitudes corresponding to the frequencies.
In the embodiment of the application, the material of the object impacted by the terminal device is determined by comparing the high-frequency energy with the total energy of the first elastic wave data, and the material of the object impacted by the terminal device is also determined by comparing the low-frequency energy with the total energy of the first elastic wave data.
Based on the first implementation manner of the first aspect of the embodiment of the present application or the second implementation manner of the first aspect, an embodiment of the present application provides a third implementation manner of the first aspect, where determining the impact information of the terminal device according to the first elastic wave data further includes:
acquiring characteristic data according to the first elastic wave data, wherein the characteristic data is used for characterizing the characteristics of the first elastic wave data, and for example, the characteristic data may include a frequency distribution of the first elastic wave data, a waveform difference peak value (including a fastest rising value and a fastest falling value) and a waveform stability time of the first elastic wave data;
and determining the material of the object impacted by the terminal equipment according to the characteristic data and a preset deep learning model, wherein the deep learning model is used for outputting the material of the object according to the input characteristic data.
In the embodiment of the application, a deep learning model is obtained through pre-training, and then the material of an object impacted by the terminal equipment is determined according to the deep learning model.
Based on the first implementation manner of the first aspect, or the second implementation manner of the first aspect, or the third implementation manner of the first aspect of the embodiments of the present application, an embodiment of the present application provides a fourth implementation manner of the first aspect, where the acquiring first elastic wave data of the terminal device at the time of the impact includes:
acquiring elastic wave data of four corners of the terminal equipment during impact, and then determining the elastic wave data of the corner with the earliest occurrence time in the elastic wave data of the four corners;
and finally, determining the elastic wave data at the position with the earliest occurrence time in the elastic wave data at the four positions as the first elastic wave data of the terminal equipment when the terminal equipment is impacted.
In the embodiment of the application, the elastic wave data at the position with the earliest time of occurrence in the elastic wave data at the four positions is used as the first elastic wave data, so that the first elastic wave data can reflect the impact characteristics of the terminal equipment, and the determination of the material quality of an impacted object is more accurate.
Based on the first implementation manner of the first aspect, the second implementation manner of the first aspect, or the third implementation manner of the first aspect of the embodiments of the present application, the embodiments of the present application provide a fifth implementation manner of the first aspect, where the first elastic wave data includes elastic wave data at four corners of the terminal device at the time of impact;
determining impact information of the terminal device according to the first elastic wave data comprises:
and determining the impact position of the terminal equipment according to the elastic wave data at the four corners.
In the embodiment of the application, the impact information further comprises an impact position, so that the terminal equipment can be maintained and optimized according to the impact position.
In a fifth implementation manner of the first aspect of this embodiment, this embodiment provides a sixth implementation manner of the first aspect, and determining the impact location of the terminal device according to the elastic wave data at the four corners includes one or more of the following:
determining that the impact position of the terminal device is a first corner based on the difference value between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at any one of the other three corners being greater than a third threshold value, wherein the first corner is one of the four corners;
determining that the impact position of the terminal device is the first angle based on the fact that the difference value between the peak value of the elastic wave data at the first angle and the peak value of the elastic wave data at any one of the other three angles is larger than a fourth threshold value;
determining that the impact position of the terminal device is an edge between the first corner and the second corner based on that the difference between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at the second corner is smaller than a fifth threshold and the difference between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at any one of the other two corners is larger than a sixth threshold;
determining that the impact position of the terminal device is an edge between the first corner and the second corner based on that the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at the second corner is smaller than a seventh threshold value and the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at any one of the other two corners is larger than an eighth threshold value;
determining that the impact position of the terminal device is a plane based on that the difference value of the occurrence times of the elastic wave data at any two of the four corners is smaller than a ninth threshold value;
and determining that the impact position of the terminal device is one surface based on that the difference value of the peak values of the elastic wave data at any two of the four corners is smaller than a tenth threshold value.
In the embodiment of the present application, the impact position of the terminal device, which may be a corner, an edge, or a face, may be determined by comparing the occurrence times or peak values of the elastic wave data at four corners.
Based on the first implementation manner of the first aspect, or the second implementation manner of the first aspect, or the third implementation manner of the first aspect, or the fourth implementation manner of the first aspect, or the fifth implementation manner of the first aspect, or the sixth implementation manner of the first aspect of the embodiments of the present application, the embodiments of the present application provide a seventh implementation manner of the first aspect, and the method further includes:
acquiring first time when the terminal equipment enters a weightlessness state;
acquiring second time when the terminal equipment enters an impact state;
and acquiring the falling height and/or the impact speed of the terminal equipment according to the first time and the second time based on the fact that the terminal equipment is changed from the impact state to the static state.
In the embodiment of the application, the falling information can further include falling height and impact speed, so that the types of the falling information for reference are more, and the maintenance and optimization of the terminal equipment are facilitated.
A second aspect of the embodiments of the present application provides a terminal device, including: the device comprises a control module and four elastic wave sensors;
the four elastic wave sensors are respectively arranged at four corners of the terminal equipment;
each elastic wave sensor is connected with the control module and used for acquiring elastic wave data of the corner where the terminal equipment is located when the terminal equipment is impacted;
the control module is configured to perform the method of any one of the fourth implementation manner to the seventh implementation manner in the first aspect of the embodiment of the application.
In the embodiment of the application, the terminal equipment is respectively provided with the elastic wave sensors at four corners, and then the control module acquires falling information according to elastic wave data of the four corners when the terminal equipment is impacted.
Based on the second aspect of the embodiments of the present application, an embodiment of the present application provides the first implementation manner of the second aspect, and the terminal device further includes: an inertial measurement module;
the inertia measurement module is used for acquiring motion data of the terminal equipment;
the control module is connected with the inertia measurement module and used for determining that the terminal equipment is in a weightless state according to the motion data and controlling the elastic wave sensor to collect elastic wave data based on the fact that the terminal equipment is in the weightless state.
In the embodiment of the application, the inertia measurement module is used for determining that the terminal equipment enters a weightlessness state, and then the elastic wave sensor is started, so that the purpose of reducing power consumption is achieved.
A third aspect of the embodiments of the present application provides a terminal device, including: the device comprises a control module and an elastic wave sensor;
the elastic wave sensor is connected with the control module and used for acquiring first elastic wave data of the terminal equipment during impact;
the control module is used for executing the method of any one of the first implementation manner, the third implementation manner and the seventh implementation manner in the first aspect of the embodiment of the application.
In the embodiment of the application, the impact material of the terminal equipment is obtained according to the first elastic wave data, and the method is suitable for various terminal equipment.
A fourth aspect of the embodiments of the present application provides a chip or a chip system, where the chip or the chip system includes at least one processor and a communication interface, the communication interface and the at least one processor are interconnected by a line, and the at least one processor is configured to run a computer program or an instruction to execute the method for acquiring dropping information of a terminal device according to any one of the implementation manners in the first aspect.
A fifth aspect of the embodiments of the present application provides a computer storage medium, where the computer storage medium is used to store computer software instructions for the above-mentioned apparatus for analyzing streaming data, and the computer storage medium includes a program designed for executing a terminal device;
the terminal device may be as described in the second or third aspect above.
A ninth aspect of the present application provides a computer program product, where the computer program product includes computer software instructions, and the computer software instructions may be loaded by a processor to implement the method for acquiring dropping information of a terminal device as described in any one of the embodiments of the first aspect.
According to the technical scheme, the embodiment of the application has the following advantages:
in the terminal equipment, first elastic wave data of the terminal equipment during impact are obtained firstly, then impact information of the terminal equipment is determined according to the first elastic wave data, and the impact information determined according to the first elastic wave data can reflect the impact characteristics of the terminal equipment better than acceleration data and angular velocity data, so that the impact condition of the terminal equipment can be effectively reflected, and the terminal equipment can be effectively guided to be directionally maintained and optimized.
Drawings
FIG. 1 is a block diagram of a system according to an embodiment of the present application;
fig. 2 is a schematic diagram of an embodiment of a method for acquiring dropping information of a terminal device in an application embodiment;
FIG. 3 is a schematic diagram of an embodiment of elastic wave data in an embodiment of the present application;
FIG. 4 is a schematic diagram of one embodiment of determining impact information for a terminal device from first elastic wave data;
FIG. 5 is a schematic diagram of another embodiment of determining impact information for a terminal device from first elastic wave data;
FIG. 6 is a schematic diagram of an embodiment of a frequency distribution of first elastic wave data;
FIG. 7 is a schematic diagram of an embodiment of a waveform difference peak of the first elastic wave data;
FIG. 8 is a schematic diagram of an embodiment of a waveform stabilization time of the first elastic wave data;
fig. 9 is a schematic diagram of an embodiment of a method for acquiring dropping information of a terminal device in an application embodiment;
FIG. 10 is a schematic diagram of an embodiment of a terminal device according to an embodiment of the present application;
FIG. 11 is a schematic structural view of an elastic wave sensor;
FIG. 12 is a diagram illustrating a state change of a terminal device;
fig. 13 is a schematic diagram of another embodiment of a terminal device according to an embodiment of the present application;
fig. 14 is a schematic view illustrating an application of obtaining fall information of a terminal device in an embodiment of the present application.
Detailed Description
The embodiment of the application provides a method for acquiring falling information of terminal equipment and the terminal equipment can acquire the falling information of the terminal equipment according to elastic wave data so as to improve the effectiveness of the falling information.
As shown in fig. 1, the embodiment of the present application can be applied to the system shown in fig. 1; the system comprises a server and a terminal device; wherein terminal equipment includes computer, smart mobile phone, panel computer and notebook computer, in addition, terminal equipment can also include smart screen, vehicle mounted terminal and multiple wearable equipment, for example, wearable equipment can be earphone, bracelet, glasses and wrist-watch etc..
The terminal equipment acquires the falling information and sends the falling information and the damage information provided by the internal hardware to the server, and the server can send a notice to the terminal equipment according to the falling information and the damage information so as to inform a user of performing directional maintenance and updating on the terminal equipment.
Because the acceleration data and the angular velocity data cannot well reflect the impact characteristics of the terminal equipment, the falling information determined according to the acceleration data and the angular velocity data cannot reflect the impact condition of the terminal equipment, and the server cannot judge the actual impact condition of the terminal equipment.
Therefore, the embodiment of the application provides a method for acquiring falling information of a terminal device, which includes acquiring elastic wave data when the terminal device is impacted, and determining impact information according to the elastic wave data, so that the impact condition of the terminal device is better reflected.
For convenience of understanding, please refer to fig. 2, which is a schematic diagram illustrating an embodiment of a method for acquiring dropping information of a terminal device in an embodiment of the present application. As shown in fig. 2, an embodiment of the present application provides an embodiment of a method for acquiring dropping information of a terminal device, including:
It should be noted that the terminal device generates elastic waves when being impacted; as shown in fig. 3, fig. 3 shows four elastic waves, each corresponding to one elastic wave data.
As can be seen from fig. 3, the peak value of the elastic wave changes with time, and the peak values of different elastic waves are different.
The first elastic wave data may include a peak value, a rise time, a waveform stabilization time, and the like.
There are various methods for acquiring the first elastic wave data, and the embodiment of the present application does not limit this method.
And 102, determining the impact information of the terminal equipment according to the first elastic wave data.
It should be noted that the impact information is one of fall information, and the impact information may include various information, for example, the material of the object to be impacted and the impact position.
The determination method of different impact information may be different, and there may be multiple determination methods of the same impact information, and the embodiment of the present application is not limited herein.
In the embodiment of the application, the first elastic wave data can reflect the impact characteristics of the terminal equipment better than the acceleration data and the angular velocity data, so that the impact condition of the terminal equipment can be effectively reflected according to the impact information determined by the first elastic wave data, and a user can be effectively guided to perform directional maintenance optimization on the terminal equipment.
Based on the foregoing embodiment, another embodiment of the method for acquiring dropping information of a terminal device is provided in the embodiments of the present application, as shown in fig. 4, in which determining impact information of the terminal device according to first elastic wave data includes:
It is understood that the elastic wave is fourier transformed, and may be converted into a plurality of sine waves; the frequency characteristics corresponding to the first elastic wave data may be obtained by fourier transform, wherein the frequency characteristics may include the frequency and amplitude of each sinusoidal wave.
And step 202, determining the material of the object impacted by the terminal equipment according to the frequency characteristics.
The material of the object can be a class of material or a specific material. Specifically, it may be determined that the object that the terminal device impacts is made of a hard material, where the hard material may include marble and a hard wood board; the material of the object impacted by the terminal device can also be determined to be soft material, and the soft material can comprise soft material such as sofa, quilt and the like.
In the embodiment of the application, the impact information comprises the material of the object impacted by the terminal equipment, so that the terminal equipment can be maintained and optimized according to the impacted material of the object.
Based on the above embodiments, there are various methods for determining the material of the object hit by the terminal device, and several methods are described below.
Illustratively, based on the foregoing description, the frequency characteristics may include the frequency and amplitude of each sinusoidal wave obtained through fourier transform, that is, the frequency characteristics include a plurality of frequencies and respective corresponding amplitudes.
Determining the material of the object impacted by the terminal device according to the frequency characteristics comprises:
determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies greater than the first threshold and the sum of the amplitudes corresponding to the frequencies;
and/or
And determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies smaller than the second threshold value and the sum of the amplitudes corresponding to the frequencies.
The first threshold and the second threshold may be set according to actual needs, for example, both the first threshold and the second threshold may be 100 Hz.
The amplitude corresponding to the frequency represents the energy of the sine wave corresponding to the frequency, so that the material of the object impacted by the terminal equipment is determined according to the sum of the amplitudes corresponding to the frequencies greater than the first threshold and the sum of the amplitudes corresponding to the frequencies, and the material of the object impacted by the terminal equipment can be determined according to the sum of the energy of the sine wave corresponding to the frequencies greater than the first threshold and the sum of the energy of the sine wave corresponding to the frequencies.
Similarly, the material of the object impacted by the terminal device is determined according to the sum of the amplitudes corresponding to the frequencies smaller than the second threshold and the sum of the amplitudes corresponding to the multiple frequencies, which can be understood as that the material of the object impacted by the terminal device is determined according to the sum of the energy of the sine waves corresponding to the frequencies smaller than the second threshold and the sum of the energy of the sine waves corresponding to the multiple frequencies.
It can be understood that when the material of the object impacted by the terminal device is hard, the proportion of the energy of the high-frequency sine wave obtained by fourier transform to the total energy of the elastic wave is large; therefore, the sum of the amplitudes corresponding to the frequencies larger than the first threshold value can be obtained and recorded as a first summation value, the sum of the amplitudes corresponding to the multiple frequencies can be obtained and recorded as a second summation value, the ratio of the first summation value to the second summation value can be obtained and used as a first ratio, and based on the fact that the first ratio is larger than a first preset ratio, the material of the object impacted by the terminal equipment can be determined to be a hard material.
Similarly, when the material of the object impacted by the terminal device is a soft material, the proportion of the energy of the low-frequency sine wave obtained by Fourier transform to the total energy of the elastic wave is large; therefore, the sum of the amplitudes corresponding to the frequencies smaller than the second threshold value can be obtained and recorded as a third summation value, the sum of the amplitudes corresponding to the multiple frequencies can be obtained and recorded as a second summation value, the ratio of the third summation value to the second summation value can be obtained and used as a second ratio, and based on the fact that the second ratio is larger than a second preset ratio, the material of the object impacted by the terminal equipment can be determined to be a soft material.
In the embodiment of the application, the material of the object impacted by the terminal device is determined according to the high-frequency energy and the total energy of the first elastic wave data, and the material of the object impacted by the terminal device is also determined according to the low-frequency energy and the total energy of the first elastic wave data.
Exemplarily, as shown in fig. 5, determining the impact information of the terminal device according to the first elastic wave data further includes:
and 301, acquiring characteristic data according to the first elastic wave data.
The characteristic data is used to characterize the first elastic wave data, and for example, the characteristic data may include a frequency distribution of the first elastic wave data, a waveform difference peak value (including a fastest rising value and a fastest falling value) and a waveform stabilization time of the first elastic wave data, and the like.
For ease of understanding, the three characteristic data are described below with reference to fig. 6 to 8.
Referring to fig. 6, fig. 6 is a schematic diagram of an embodiment of a frequency distribution of first elastic wave data; as shown in fig. 6, after fourier transform is performed on the first elastic wave data, a plurality of sine waves can be obtained, where 601 represents the ratio of the energy of the sine wave with the frequency between 0 and 50Hz to the total energy of the first elastic wave data, 602 represents the ratio of the energy of the sine wave with the frequency between 50Hz and 100Hz to the total energy of the first elastic wave data, 603 represents the ratio of the energy of the sine wave with the frequency between 100Hz and 150Hz to the total energy of the first elastic wave data, and 604 represents the ratio of the energy of the sine wave with the frequency between 150Hz and 200Hz to the total energy of the first elastic wave data.
Referring to fig. 7, fig. 7 is a schematic diagram illustrating an exemplary waveform difference peak of the first elastic wave data; as shown in fig. 7, 701 represents the fastest rising point, and the value of the ordinate represents the fastest rising value; 702 represents the point of fastest decrease, the value of the ordinate representing the fastest decrease.
Referring to fig. 8, fig. 8 is a schematic diagram illustrating an embodiment of a waveform stabilization time of the first elastic wave data; as shown in fig. 8, 801 represents the waveform stabilization time of the first elastic wave data.
And 302, determining the material of the object impacted by the terminal equipment according to the characteristic data and a preset deep learning model, wherein the deep learning model is used for outputting the material of the object according to the input characteristic data.
It should be noted that before step 302 is executed, a training feature may be obtained, where the training feature has the same dimension as the special data, and may also include a frequency distribution of the first elastic wave data, a waveform difference peak (including a fastest rising value and a fastest falling value) of the first elastic wave data, a waveform stabilization time, and the like.
And then training based on the neural network and the training characteristics to obtain the deep learning model in the embodiment of the application.
In the embodiment of the application, a deep learning model is obtained through pre-training, and then the material of an object impacted by the terminal equipment is determined according to the deep learning model; it can be understood that, when the energy of the high-frequency sine wave in the first elastic wave data is not much different from the energy of the low-frequency sine wave, that is, the material of the object impacted by the terminal device cannot be determined according to the sum of the amplitudes corresponding to the frequencies greater than the first threshold and the sum of the amplitudes corresponding to the multiple frequencies, or the material of the object impacted by the terminal device cannot be determined according to the sum of the amplitudes corresponding to the frequencies less than the second threshold and the sum of the amplitudes corresponding to the multiple frequencies, the material of the object impacted by the terminal device may be determined by using the deep learning model in the embodiment of the present application.
As is apparent from the above description, there are various methods for acquiring the first elastic wave data, and for example, elastic wave data at a plurality of locations of the terminal device may be acquired, and then one elastic wave data may be selected from the elastic wave data at the plurality of locations as the first elastic wave data.
Illustratively, acquiring first elastic wave data of the terminal device at the time of impact includes:
acquiring elastic wave data of four corners of the terminal equipment during impact, and then determining the elastic wave data of the corner with the earliest occurrence time in the elastic wave data of the four corners;
and finally, determining the elastic wave data at the position with the earliest occurrence time in the elastic wave data at the four positions as the first elastic wave data of the terminal equipment when the terminal equipment is impacted.
It should be noted that, for some terminal devices, the structure is a rectangular structure, and there are four corners; when the terminal equipment falls, the four corners are impacted, and therefore elastic wave data of the four corners can be acquired.
The four corners of the terminal equipment are impacted in a certain sequence, for example, one corner is impacted first; correspondingly, the appearance time of the elastic wave data at the four corners also exists in sequence. The occurrence time may be calculated from the start time of the elastic wave or may be calculated from the peak time of the elastic wave.
For example, as shown in fig. 3, assuming that the four elastic wave data in fig. 3 are elastic wave data at four corners of the terminal device, respectively, 501, 502, and 503 represent differences in the appearance time of elastic data at two corners thereof, respectively.
It can be understood that the elastic wave data at the position with the earliest occurrence time can reflect the impact characteristics of the terminal device better, so that the elastic wave data at the position with the earliest occurrence time is selected as the first elastic wave data, and the determination of the material of the impacted object is more accurate.
Based on the foregoing description, the falling information may include the impact position of the terminal device in addition to the material of the object impacted by the terminal device.
Specifically, in another embodiment of the method for acquiring dropping information of a terminal device provided in the embodiment of the present application, the first elastic wave data includes elastic wave data at four corners of the terminal device at the time of impact;
based on this, determining the impact information of the terminal device from the first elastic wave data includes:
and determining the impact position of the terminal equipment according to the elastic wave data at the four corners, wherein the impact position can be one corner, one edge or one face of the terminal equipment.
It should be noted that there are many methods for determining the impact position, and the embodiment of the present application is not limited thereto.
In the embodiment of the application, the impact information further comprises an impact position, so that the terminal equipment can be maintained and optimized according to the impact position.
Several of the methods of determining the location of impact are described below. Specifically, determining the impact location of the terminal device from the elastic wave data at the four corners may include:
and determining that the impact position of the terminal equipment is a first corner which is one of the four corners based on that the difference value between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at any one of the other three corners is larger than a third threshold value.
It is understood that, of the four corners of the terminal device, the time of occurrence of the elastic wave corresponding to the corner where the impact first occurs is the earliest, so that the impact position can be determined to be the first corner.
Specifically, determining the impact location of the terminal device from the elastic wave data at the four corners may include:
and determining that the impact position of the terminal equipment is the first angle based on that the difference value between the peak value of the elastic wave data at the first angle and the peak value of the elastic wave data at any one of the other three angles is larger than a fourth threshold value.
It is understood that, of the four corners of the terminal device, the peak value of the elastic wave corresponding to the corner where the impact first occurs is the largest, so that the impact position can be determined to be the first corner.
Specifically, determining the impact location of the terminal device from the elastic wave data at the four corners may include:
and determining that the impact position of the terminal device is an edge between the first corner and the second corner based on that the difference between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at the second corner is smaller than a fifth threshold and the difference between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at any one of the other two corners is larger than a sixth threshold.
It is understood that a difference between the appearance time of the elastic wave data at the first angle and the appearance time of the elastic wave data at the second angle is small, indicating that the first angle and the second angle hit at almost the same time, and thus it can be determined that the hit position of the terminal device is an edge between the first angle and the second angle.
Specifically, determining the impact location of the terminal device from the elastic wave data at the four corners may include:
and determining that the impact position of the terminal device is an edge between the first corner and the second corner based on that the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at the second corner is smaller than a seventh threshold value and the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at any one of the other two corners is larger than an eighth threshold value.
It is understood that a difference between the peak value of the elastic wave data at the first angle and the peak value of the elastic wave data at the second angle is small, indicating that the first angle and the second angle hit at almost the same time, and thus it can be determined that the hit position of the terminal device is an edge between the first angle and the second angle.
Specifically, determining the impact location of the terminal device from the elastic wave data at the four corners may include:
and determining that the impact position of the terminal device is one surface based on that the difference value of the appearance times of the elastic wave data at any two of the four corners is smaller than a ninth threshold value.
It is understood that the difference in the occurrence times of the elastic wave data at any two of the four corners is small, indicating that the four corners are hit almost simultaneously, and therefore it can be determined that the hit position of the terminal device is one plane.
Specifically, determining the impact location of the terminal device from the elastic wave data at the four corners may include:
and determining that the impact position of the terminal device is one surface based on that the difference value of the peak values of the elastic wave data at any two of the four corners is smaller than a tenth threshold value.
It is understood that the difference in the peak values of the elastic wave data at any two of the four corners is small, indicating that the four corners are hit almost simultaneously, and therefore it can be determined that the hit position of the terminal device is one plane.
In the embodiment of the application, the impact position of the terminal device can be determined by comparing the occurrence time or the peak value of the elastic wave data at four corners, and the impact position can be a corner, an edge or a surface; the impact position can guide the user to perform orientation optimization on the terminal equipment.
It will be appreciated that the fall information may include fall height and impact velocity in addition to the material of the object impacted and the location of the impact.
Specifically, as shown in fig. 9, in another embodiment of the method for acquiring dropping information of a terminal device provided in the embodiment of the present application, the method further includes:
and step 403, acquiring the falling height and/or the impact speed of the terminal equipment according to the first time and the second time based on the fact that the terminal equipment is changed from the impact state to the static state.
It can be understood that if the terminal device changes from the impact state to the stationary state, it indicates that the terminal device falls, and if the terminal device does not finally change to the stationary state after entering the impact state, it cannot be determined that the terminal device falls.
Specifically, the equation 2h ═ gt can be expressed in terms of2The falling height can be calculated according to the formula mv2The impact velocity was calculated as 2mgh, where t represents the difference between the second time and the first time, h represents the drop height, and v represents the impact velocity.
In the embodiment of the application, the falling information can further include falling height and impact speed, so that the types of the falling information for reference are more, and the maintenance and optimization of the terminal equipment are facilitated.
As shown in fig. 10, an embodiment of the present application further provides an embodiment of a terminal device, including: a control module 100 and four elastic wave sensors 200;
four elastic wave sensors 200 are respectively disposed at four corners of the terminal device.
Each elastic wave sensor 200 is connected with the control module 100 and used for collecting elastic wave data at the corner of the terminal equipment when the terminal equipment is impacted; illustratively, the elastic wave sensor 200 may be connected to the bus 400 through the flexible circuit board 700, and the bus 400 is connected to the control module 100.
As shown in fig. 11, the elastic wave sensor 200 is composed of three parts: a positive electrode, a negative electrode and a piezoceramic material between the positive electrode and the negative electrode; wherein silver-plated materials are used for the positive electrode and the negative electrode; the piezoelectric ceramic is an information functional ceramic material capable of mutually converting mechanical energy and electric energy, under the action of mechanical stress, the centers of positive and negative charges in the piezoelectric ceramic material are relatively displaced to generate polarization, so that bound charges with opposite signs appear on the surfaces of two ends of the piezoelectric ceramic material, and an electric signal is generated through the transmission of positive and negative electrodes; the generated signal has sensitive characteristics and can efficiently capture high-frequency signals.
As can be seen from fig. 10, the terminal device further includes a housing 500, a middle frame 600, a PCB circuit board 800, a flexible circuit board 700, and a memory module 300;
the PCB 800 is disposed in the middle frame 600, and the four elastic wave sensors 200 are disposed at four corners of the middle frame 600, respectively;
the control module 100, the memory module 300 and the bus 400 are disposed on the PCB circuit board 800;
the four elastic wave sensors 200 are connected to the bus 400 via flexible circuit boards 700, respectively.
The control module 100 is configured to:
acquiring elastic wave data of the terminal equipment at four corners during impact;
determining elastic wave data at one corner with the earliest occurrence time in the elastic wave data at the four corners as first elastic wave data of the terminal equipment during impact;
and determining impact information of the terminal equipment according to the first elastic wave data.
Optionally, the control module 100 is configured to:
acquiring frequency characteristics corresponding to the first elastic wave data;
and determining the material of the object impacted by the terminal equipment according to the frequency characteristics.
Optionally, the frequency characteristic comprises a plurality of frequencies and respective corresponding amplitudes.
The control module 100 is configured to: determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies greater than the first threshold and the sum of the amplitudes corresponding to the frequencies;
and/or
And determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies smaller than the second threshold value and the sum of the amplitudes corresponding to the frequencies.
Optionally, the control module 100 is configured to:
acquiring characteristic data according to the first elastic wave data, wherein the characteristic data is used for representing the characteristics of the first elastic wave data;
and determining the material of the object impacted by the terminal equipment according to the characteristic data and a preset deep learning model, wherein the deep learning model is used for outputting the material of the object according to the input characteristic data.
Optionally, the control module 100 is further configured to:
and determining the impact position of the terminal equipment according to the elastic wave data at the four corners.
Optionally, the control module 100 is configured to perform one or more of the following:
determining that the impact position of the terminal device is a first corner based on the difference value between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at any one of the other three corners being greater than a third threshold value, wherein the first corner is one of the four corners;
determining that the impact position of the terminal device is the first angle based on the fact that the difference value between the peak value of the elastic wave data at the first angle and the peak value of the elastic wave data at any one of the other three angles is larger than a fourth threshold value;
determining that the impact position of the terminal device is an edge between the first corner and the second corner based on that the difference between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at the second corner is smaller than a fifth threshold and the difference between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at any one of the other two corners is larger than a sixth threshold;
determining that the impact position of the terminal device is an edge between the first corner and the second corner based on that the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at the second corner is smaller than a seventh threshold value and the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at any one of the other two corners is larger than an eighth threshold value;
determining that the impact position of the terminal device is a plane based on that the difference value of the occurrence times of the elastic wave data at any two of the four corners is smaller than a ninth threshold value;
and determining that the impact position of the terminal device is one surface based on that the difference value of the peak values of the elastic wave data at any two of the four corners is smaller than a tenth threshold value.
Optionally, the control module 100 is further configured to:
acquiring first time when the terminal equipment enters a weightlessness state;
acquiring second time when the terminal equipment enters an impact state;
and acquiring the falling height and/or the impact speed of the terminal equipment according to the first time and the second time based on the fact that the terminal equipment is changed from the impact state to the static state.
In this embodiment, the terminal device is provided with the elastic wave sensors 200 at four corners, and then the control module 100 acquires the falling information according to the elastic wave data at the four corners when the terminal device is impacted.
As shown in fig. 10, in another embodiment of the terminal device provided in the embodiment of the present application, the terminal device further includes: an inertial measurement module 900;
the inertia measurement module 900 is used for collecting motion data of the terminal device;
the control module 100 is connected to the inertia measurement module 900, and is configured to determine that the terminal device is in a weightless state according to the motion data, and control the elastic wave sensor 200 to collect elastic wave data based on that the terminal device is in the weightless state.
The inertia measurement module 900 may be disposed on the PCB circuit board 800 in fig. 10, and connected to the control module 100 through the bus 400.
In the embodiment of the application, it is determined that the terminal device enters a weightlessness state through the inertia measurement module 900, and then the elastic wave sensor 200 is turned on, so that the purpose of reducing power consumption is achieved; moreover, since the elastic wave sensors 200 are disposed at four corners of the terminal device, the terminal device in the embodiment of the present application mainly refers to a rectangular terminal device such as a tablet computer, a smart phone, a smart screen, and a notebook computer.
It is noted that the inertial measurement module 900 may include an acceleration sensor and/or a gyro sensor. When the inertial measurement module 900 includes an acceleration sensor, the motion data includes low frequency tri-axial acceleration data of the terminal device; when the inertial measurement module 900 includes a gyro sensor, the motion data includes three-axis angular velocity data of the terminal device.
Accordingly, the method for determining whether the terminal device is in the weightless state according to the motion data by the control module 100 may include:
determining a resultant acceleration according to the low-frequency triaxial acceleration data;
determining that the terminal device is in a weightlessness state based on the fact that the resultant acceleration is continuously smaller than the preset acceleration within a preset time period (for example, 10 ms);
and calculating the resultant angular velocity according to the triaxial angular velocity data based on the fact that the resultant acceleration is not smaller than the preset acceleration continuously in the preset time period.
When the terminal equipment is weightless, whether the equipment rotates or not in the weightless process, the resultant angular velocity of the equipment tends to be stable because the equipment is not subjected to other external forces except gravity, and the resultant angular velocity tends to be stable can be judged by the fact that the standard deviation of the resultant angular velocity is small.
Therefore, if the resultant angular velocity is smaller than the preset first angular velocity within the preset time period or the standard deviation within the preset time period is larger than the preset second angular velocity, it may be determined that the terminal device is not weightless.
If the resultant angular velocity is greater than the preset first angular velocity within the preset time period and the standard deviation within the preset time period is less than the preset second angular velocity, the resultant acceleration and the resultant angular velocity can be input into a neural network model trained in advance, and then whether the terminal equipment is weightless or not is determined through the neural network model.
Based on determining that the terminal device is in the weightless state, the control module 100 may record a first time when the terminal device enters the weightless state.
It can be understood that, as shown in fig. 12, assuming that the terminal device is currently in an initial state, if the terminal device falls, the terminal device may change from the initial state to a weightless state, then change to a stationary state after passing through an impact state, and therefore, the control module 100 may also be configured to determine that the terminal device changes from the weightless state to the impact state according to the motion data, and may also be configured to determine that the terminal device changes from the impact state to the stationary state according to the motion data, and at this time, it may be determined that the terminal device falls.
Specifically, based on the foregoing method of determining whether the terminal device is in the weightless state, the control module 100 may determine that the terminal device changes from the weightless state to the non-weightless state.
When the terminal device approaches to impact, the pressure between the terminal device and the impacted object is large, so that the motion data can be influenced by air resistance and the like, and the terminal device is changed from a weightless state to a non-weightless state.
Therefore, the control module 100 may determine that the terminal device is changed from the weightless state to the impact state according to the motion data; specifically, the control module 100 may obtain a difference between a resultant acceleration at a time subsequent to the current time and a resultant acceleration at a time previous to the current time, and determine that the terminal device is changed from the weightless state to the impact state based on that the difference is greater than a preset resultant acceleration difference; based on the difference being less than or equal to the preset resultant acceleration difference, it is determined that the terminal device does not enter the impact state, and thus it may be determined that the state of the terminal device changes to the initial state.
Wherein, based on determining that the terminal device is in the impact state, the control module 100 may record a second time at which the terminal device enters the impact state.
After the terminal device is changed from the weightless state to the impact state, the control module 100 determines that the terminal device is changed to the static state based on the fact that the resultant acceleration is close to the gravitational acceleration and the resultant angular velocity is close to zero.
It should be noted that, the method for acquiring the fall information is described based on the foregoing embodiment, and the functions of the control module 100 can be understood by referring to the description of the method for acquiring the fall information in the foregoing embodiment, which is not described herein again.
Referring to fig. 13, a schematic diagram of another embodiment of a terminal device in the embodiment of the present application is shown. An embodiment of the present application further provides another embodiment of a terminal device, including: a control module 1000 and an elastic wave sensor 2000;
the elastic wave sensor 2000 is connected to the control module 1000, and is configured to collect first elastic wave data of the terminal device during an impact.
The control module 1000 is configured to:
acquiring first elastic wave data of terminal equipment during impact;
and determining impact information of the terminal equipment according to the first elastic wave data.
Optionally, the control module 1000 is configured to:
acquiring frequency characteristics corresponding to the first elastic wave data;
and determining the material of the object impacted by the terminal equipment according to the frequency characteristics.
Optionally, the frequency characteristic comprises a plurality of frequencies and respective corresponding amplitudes.
The control module 1000 is configured to: determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies greater than the first threshold and the sum of the amplitudes corresponding to the frequencies;
and/or
And determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies smaller than the second threshold value and the sum of the amplitudes corresponding to the frequencies.
Optionally, the control module 1000 is configured to:
acquiring characteristic data according to the first elastic wave data, wherein the characteristic data is used for representing the characteristics of the first elastic wave data;
and determining the material of the object impacted by the terminal equipment according to the characteristic data and a preset deep learning model, wherein the deep learning model is used for outputting the material of the object according to the input characteristic data.
Optionally, the control module 1000 is further configured to:
acquiring first time when the terminal equipment enters a weightlessness state;
acquiring second time when the terminal equipment enters an impact state;
and acquiring the falling height and/or the impact speed of the terminal equipment according to the first time and the second time based on the fact that the terminal equipment is changed from the impact state to the static state.
It should be noted that, compared with the terminal device in the foregoing embodiment, the difference is that:
in the embodiment of the present application, the number of the elastic wave sensors 2000 in the terminal device may be one or more; the elastic wave sensor 2000 may be disposed at various positions, which is not specifically limited in the embodiments of the present application, and may be disposed at an edge of a terminal device or on a PCB.
In addition to the above differences, the terminal device in the embodiment of the present application may be understood by referring to the related description of the terminal device in the foregoing embodiment.
In this application embodiment, acquire terminal equipment's striking material according to first elastic wave data, be applicable to multiple terminal equipment, not only be applicable to the terminal equipment of rectangle shape such as panel computer, smart mobile phone, wisdom screen and notebook computer, still be applicable to the wearable equipment of irregular shape such as earphone, bracelet, glasses and wrist-watch.
For convenience in understanding, an application example is provided in the embodiments of the present application, and in the application example, a terminal device is taken as an example to further describe the method for acquiring the fall information provided in the embodiments of the present application.
As shown in fig. 14, this application example includes:
in step 506, the control module determines that the terminal device enters a static state from an impact state according to the latest acquired motion data.
and step 508, the control module determines the material and the impact position of the object impacted by the terminal equipment according to the elastic wave data during impact.
An embodiment of the present application further provides a chip or a chip system, where the chip or the chip system includes at least one processor and a communication interface, the communication interface and the at least one processor are interconnected by a line, and the at least one processor is configured to run a computer program or an instruction to execute operations performed by the terminal device in the embodiment shown in fig. 10 or fig. 13, which is not described herein again in detail.
The communication interface in the chip may be an input/output interface, a pin, a circuit, or the like.
The embodiments of the present application further provide a first implementation manner of a chip or a chip system, where the chip or the chip system described above in the present application further includes at least one memory, and the at least one memory stores instructions therein. The memory may be a storage unit inside the chip, such as a register, a cache, etc., or may be a storage unit of the chip (e.g., a read-only memory, a random access memory, etc.).
An embodiment of the present application further provides a computer storage medium, where the computer storage medium is used to store computer software instructions for the terminal device, and includes a program for executing the program designed for the terminal device.
The terminal device may be the terminal device described in the foregoing fig. 10 or fig. 13.
The embodiment of the application further provides a computer program product, which includes a computer software instruction, and the computer software instruction can be loaded by a processor to implement the flow of the method for acquiring the fall information of the terminal device.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer terminal device (which may be a personal computer, a server, or a network terminal device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Claims (11)
1. A method for acquiring dropping information of terminal equipment is characterized by comprising the following steps:
acquiring first elastic wave data of terminal equipment during impact;
and determining the impact information of the terminal equipment according to the first elastic wave data.
2. The method of claim 1, wherein the determining the impact information of the terminal device from the first elastic wave data comprises:
acquiring frequency characteristics corresponding to the first elastic wave data;
and determining the material of the object impacted by the terminal equipment according to the frequency characteristics.
3. The method of claim 2, wherein the frequency signature comprises a plurality of frequencies and respective corresponding amplitudes;
the determining the material of the object impacted by the terminal device according to the frequency characteristics comprises:
determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies larger than the first threshold value and the sum of the amplitudes corresponding to the frequencies;
and/or
And determining the material of the object impacted by the terminal equipment according to the sum of the amplitudes corresponding to the frequencies smaller than the second threshold value and the sum of the amplitudes corresponding to the frequencies.
4. The method according to claim 2 or 3, wherein the determining impact information of the terminal device from the first elastic wave data further comprises:
acquiring characteristic data according to the first elastic wave data, wherein the characteristic data is used for representing the characteristics of the first elastic wave data;
and determining the material of the object impacted by the terminal equipment according to the characteristic data and a preset deep learning model, wherein the deep learning model is used for outputting the material of the object according to the input characteristic data.
5. The method according to any one of claims 1 to 4, wherein the acquiring first elastic wave data of the terminal device at the time of impact comprises:
acquiring elastic wave data of the terminal equipment at four corners during impact;
and determining the elastic wave data at the position with the earliest occurrence time in the elastic wave data at the four positions as first elastic wave data of the terminal equipment when the terminal equipment is impacted.
6. The method according to any one of claims 1 to 4, wherein the first elastic wave data comprises elastic wave data at four corners of the terminal device at the time of impact;
the determining the impact information of the terminal device according to the first elastic wave data comprises:
and determining the impact position of the terminal equipment according to the elastic wave data at the four corners.
7. The method of claim 6, wherein determining the impact location of the terminal device from the elastic wave data at the four corners comprises one or more of:
determining that the impact position of the terminal device is a first corner based on the difference value between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at any one of the other three corners being greater than a third threshold value, wherein the first corner is one of the four corners;
determining that the impact position of the terminal device is the first corner based on that the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at any one of the other three corners is larger than a fourth threshold value;
determining that the impact position of the terminal device is an edge between the first corner and the second corner based on that the difference between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at the second corner is smaller than a fifth threshold and the difference between the appearance time of the elastic wave data at the first corner and the appearance time of the elastic wave data at any one of the other two corners is larger than a sixth threshold;
determining that the impact position of the terminal device is an edge between the first corner and the second corner based on that the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at the second corner is smaller than a seventh threshold value and the difference value between the peak value of the elastic wave data at the first corner and the peak value of the elastic wave data at any one of the other two corners is larger than an eighth threshold value;
determining that the impact position of the terminal device is a plane based on that the difference value of the occurrence times of the elastic wave data at any two of the four corners is smaller than a ninth threshold value;
and determining that the impact position of the terminal device is one surface based on that the difference value of the peak values of the elastic wave data at any two of the four corners is smaller than a tenth threshold value.
8. The method according to any one of claims 1 to 7, further comprising:
acquiring first time when the terminal equipment enters a weightlessness state;
acquiring second time when the terminal equipment enters an impact state;
and acquiring the falling height and/or the impact speed of the terminal equipment according to the first time and the second time based on the fact that the terminal equipment is changed from the impact state to the static state.
9. A terminal device, comprising: the device comprises a control module and four elastic wave sensors;
the four elastic wave sensors are respectively arranged at four corners of the terminal equipment;
each elastic wave sensor is connected with the control module and used for collecting elastic wave data of the corner where the terminal equipment is located when the terminal equipment is impacted;
the control module is configured to perform the method of any one of claims 5 to 8.
10. The terminal device according to claim 9, wherein the terminal device further comprises: an inertial measurement module;
the inertia measurement module is used for acquiring motion data of the terminal equipment;
the control module is connected with the inertia measurement module and used for determining that the terminal equipment is in a weightless state according to the motion data and controlling the elastic wave sensor to collect elastic wave data based on the fact that the terminal equipment is in the weightless state.
11. A terminal device, comprising: the device comprises a control module and an elastic wave sensor;
the elastic wave sensor is connected with the control module and used for acquiring first elastic wave data of the terminal equipment during impact;
the control module is used for executing the method of any one of claims 1 to 4 and 8.
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| CN117708599A (en) * | 2024-02-04 | 2024-03-15 | 荣耀终端有限公司 | Ground material identification method, network training method and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106155322A (en) * | 2016-06-30 | 2016-11-23 | 联想(北京)有限公司 | Information processing method, electronic equipment and control system |
| CN108307051A (en) * | 2018-01-18 | 2018-07-20 | 广东欧珀移动通信有限公司 | Electronic device, collision data processing method and related product |
| CN110413188A (en) * | 2018-04-28 | 2019-11-05 | 北京钛方科技有限责任公司 | Smart machine control method and device |
-
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106155322A (en) * | 2016-06-30 | 2016-11-23 | 联想(北京)有限公司 | Information processing method, electronic equipment and control system |
| CN108307051A (en) * | 2018-01-18 | 2018-07-20 | 广东欧珀移动通信有限公司 | Electronic device, collision data processing method and related product |
| CN110413188A (en) * | 2018-04-28 | 2019-11-05 | 北京钛方科技有限责任公司 | Smart machine control method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117708599A (en) * | 2024-02-04 | 2024-03-15 | 荣耀终端有限公司 | Ground material identification method, network training method and electronic equipment |
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